Browsing Department of Computer Science (MU) by Thesis Semester "2013 Fall"

Now showing items 1-8 of 8

  • Active labeling in deep learning and its application to emotion prediction 

    Wang, Dan (University of Missouri--Columbia, 2013)
    Recent breakthroughs in deep learning have made possible the learning of deep layered hierarchical representations of sensory input. Stacked restricted Boltzmann machines (RBMs), also called deep belief networks (DBNs), ...

  • Application of deep learning networks to crime prediction 

    Fang, Chao (University of Missouri--Columbia, 2013)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Crimes are a major public concern in cities. Every day, a tremendous amount of law enforcement and policemen have been assigned to patrol and protect ...

  • Comparing TCP-IPv4TCP-IPv6 network performance 

    Shah, Harshil (University of Missouri--Columbia, 2013)
    The Internet Protocol version 4 (IPv4) has been the backbone of the Internet since its inception. The growth and success of the Internet has accelerated the consumption of the IPv4 address space and hence its exhaustion ...

  • Geo-tagging and privacy-preservation in mobile cloud computing 

    Wang, Qia, 1985- (University of Missouri--Columbia, 2013)
    With the emerge of the cloud computing service and the explosive growth of the mobile devices and applications, mobile computing technologies and cloud computing technologies have been drawing significant attentions. Mobile ...

  • Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction 

    Deng, Xin (University of Missouri--Columbia, 2013)
    Protein sequence and profile alignment has been used essentially in most bioinformatics tasks such as protein structure modeling, function prediction, and phylogenetic analysis. We designed a new algorithm MSACompro to ...

  • LIDAR data classification and compression 

    Li, Xiaoling (University of Missouri--Columbia, 2013)
    Airborne Laser Detection and Ranging (LIDAR) data has a wide range of applications in agriculture, archaeology, biology, geology, meteorology, military and transportation, etc. LIDAR data consumes hundreds of gigabytes in ...

  • Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement 

    Chen, Yan (University of Missouri--Columbia, 2013)
    To computationally obtain an accurate prediction of the three-dimensional structure of a protein from its primary sequence is one of the most important problems in bioinformatics and has been actively researched for many ...

  • On cross-domain social semantic learning 

    Deb Roy, Suman (University of Missouri--Columbia, 2013)
    Approximately 2.4 billion people are now connected to the Internet, generating massive amounts of data through laptops, mobile phones, sensors and other electronic devices or gadgets. Not surprisingly then, ninety percent ...